Mathematics for Machine Learning - PCA, Certificate | Part time online | Coursera | United States
1 months
Duration
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About

This intermediate-level Mathematics for Machine Learning - PCA course offered by Coursera in partnership with Imperial College London introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique.

Visit the official programme website for more information

Overview

Key Features

We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction.

At the end of this Mathematics for Machine Learning - PCA course offered by Coursera in partnership with Imperial College London, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge.

The lectures, examples and exercises require:

  • Some ability of abstract thinking
  • Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis)
  • Basic background in multivariate calculus (e.g., partial derivatives, basic optimization)
  • Basic knowledge in python programming and numpy

Programme Structure

Courses include:

  • Statistics of Datasets
  • Inner Products
  • Orthogonal Projections
  • Principal Component Analysis

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 months.

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Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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